Sense and Avoid Concepts: Vehicle-Based SAA Systems (Vehicle-to-Vehicle)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00193006" target="_blank" >RIV/68407700:21230/12:00193006 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Sense and Avoid Concepts: Vehicle-Based SAA Systems (Vehicle-to-Vehicle)

Popis výsledku v původním jazyce

The various scenarios of unmanned aerial vehicles (UAVs) deployment require the ability to navigate UAVs in unknown terrain. UAV, while fulfilling the mission objectives, has to avoid static obstacles as well as moving obstacles like other UAVs, airplanes, balloons or areas with bad weather forecast or bad weather conditions. Furthermore, if UAV enters the commercial controlled airspace, it needs to be able to sense and avoid the potential conflicts considering the air-traffic control regulations. The concepts for development of automated systems providing the sense and avoid capability (also referred to as collision detection and resolution systems, CDR) came mainly from two domains. The first one is the air-traffic management domain, where automatedtools like Traffic Collision Avoidance System (TCAS) and Precission Runway Monitor (PRM) are used to increase safety and fluency of the air-traffic. The second one is the artificial intelligence research and particularly robotics, where s

Název v anglickém jazyce

Sense and Avoid Concepts: Vehicle-Based SAA Systems (Vehicle-to-Vehicle)

Popis výsledku anglicky

The various scenarios of unmanned aerial vehicles (UAVs) deployment require the ability to navigate UAVs in unknown terrain. UAV, while fulfilling the mission objectives, has to avoid static obstacles as well as moving obstacles like other UAVs, airplanes, balloons or areas with bad weather forecast or bad weather conditions. Furthermore, if UAV enters the commercial controlled airspace, it needs to be able to sense and avoid the potential conflicts considering the air-traffic control regulations. The concepts for development of automated systems providing the sense and avoid capability (also referred to as collision detection and resolution systems, CDR) came mainly from two domains. The first one is the air-traffic management domain, where automatedtools like Traffic Collision Avoidance System (TCAS) and Precission Runway Monitor (PRM) are used to increase safety and fluency of the air-traffic. The second one is the artificial intelligence research and particularly robotics, where s

Druh

C - Kapitola v odborné knize

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/OVCVUT2010001" target="_blank" >OVCVUT2010001: AUTONOMIE - Řízení autonomních bezpilotních prostředků v dynamickém prostředí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Sense and Avoid in UAS: Research and Applications

ISBN

978-0-470-97975-4

Počet stran výsledku

29

Strana od-do

145-173

Počet stran knihy

345

Název nakladatele

Wiley InterScience

Místo vydání

West Sussex

Kód UT WoS kapitoly

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